--- title: "future-agi vs qwed-verification" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-future-agi-vs-qwed-ai-qwed-verification" tools: ["future-agi-future-agi", "qwed-ai-qwed-verification"] --- # future-agi vs qwed-verification *GraphCanon updated Sep 20, 2026* ## Verdict Pick future-agi if future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports deployment via,; pick qwed-verification if qwed-verification is an open-source tool for deterministic verification of AI outputs, tool calls, code, schemas, and agent state, ensuring reliability and safety before production execution. [future-agi](https://futureagi.com) reports 2.0k GitHub stars, 627 forks, and 961 open issues, last pushed Sep 18, 2026. [qwed-verification](https://docs.qwedai.com/) has 58 stars, 13 forks, and 44 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [future-agi's repository](https://github.com/future-agi/future-agi) and [qwed-verification's repository](https://github.com/QWED-AI/qwed-verification). | | [future-agi](/tools/future-agi-future-agi.md) | [qwed-verification](/tools/qwed-ai-qwed-verification.md) | | --- | --- | --- | | Tagline | Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications | Open-source AI verification infrastructure for deterministic verification of LLM outputs, tool calls, code, schemas, and agent state before production execution. | | Stars | 2,032 | 58 | | Forks | 627 | 13 | | Open issues | 961 | 44 | | Language | Python | Python | | Adopt for | Future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports deployment via, | qwed-verification is an open-source tool for deterministic verification of AI outputs, tool calls, code, schemas, and agent state, ensuring reliability and safety before production execution. | | Persona | - | - | | Runtime | - | - | | License | Apache License 2.0, allowing for free use, modification, and distribution of the software, with the condition that any derivative works also be licensed under the same terms. | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability, LLM Frameworks | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [future-agi](/tools/future-agi-future-agi.md) | [qwed-verification](/tools/qwed-ai-qwed-verification.md) | | --- | --- | --- | | Open issues (now) | 961 | 44 | | Stars delta | +473 (30d) | +1 (30d) | | Open issues delta | +365 (30d) | +18 (30d) | | Full report | [trust report](/tools/future-agi-future-agi/trust.md) | [trust report](/tools/qwed-ai-qwed-verification/trust.md) | ## Decision facts: future-agi - **Pricing:** freemium - The core platform is free and open-source under the Apache License 2.0. However, for managed services or additional support, contact sales for pricing. - **Requirements:** Min 4 GB RAM; Requires Docker; Future-AGI requires Docker for deployment, with support for Docker Compose and upcoming Kubernetes and Helm support.; For production environments, a setup script is provided to generate secrets and pin image tags, ensuring a secure and reproducible deployment. - **Adopt for:** Future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports deployment via, - **License detail:** Apache License 2.0, allowing for free use, modification, and distribution of the software, with the condition that any derivative works also be licensed under the same terms. ## Decision facts: qwed-verification - **Requirements:** Requires Docker; Requires Docker for deployment.; Installation in development mode involves cloning the repository and using pip to install in editable mode. - **Adopt for:** qwed-verification is an open-source tool for deterministic verification of AI outputs, tool calls, code, schemas, and agent state, ensuring reliability and safety before production execution. - **License detail:** Apache-2.0 ## Choose when ### Choose future-agi if… - Pricing: The core platform is free and open-source under the Apache License 2.0. However, for managed services or additional support, contact sales for pricing.. - Requirements: Min 4 GB RAM; Requires Docker; Future-AGI requires Docker for deployment, with support for Docker Compose and upcoming Kubernetes and Helm support.; For production environments, a setup script is provided to generate secrets and pin image tags, ensuring a secure and reproducible deployment.. - Tags unique to future-agi: ai-agents, ai-evals, ai-gateway, ai-optimization. - Also covers AI Agents. - You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic. ### Choose qwed-verification if… - Requirements: Requires Docker; Requires Docker for deployment.; Installation in development mode involves cloning the repository and using pip to install in editable mode.. - Tags unique to qwed-verification: ai-accuracy, ai-safety, ai-security, code-security. - When you need deterministic verification of AI outputs and tool calls to ensure reliability and safety before deploying to production. ## When NOT to use future-agi - You require immediate Kubernetes or Helm support, as these are not yet available, though they are in development. - You are seeking a managed service or a solution available through AWS Marketplace, as these options are not yet available, though they are planned for the future. - Your project is in a highly dynamic environment where frequent updates and vendor support are critical, as Future-AGI is a community-driven project with a focus on self-hosting and open-source. ## When NOT to use qwed-verification - If your project does not require deterministic verification and can tolerate some level of uncertainty in AI outputs. - When you are working on a small-scale project where the overhead of formal verification and fail-closed mechanisms is not justified. - If your project is not compatible with Python or the specific libraries used by qwed-verification, such as sympy and z3-prover. ## Common questions ### What is the difference between future-agi and qwed-verification? future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. qwed-verification: Open-source AI verification infrastructure for deterministic verification of LLM outputs, tool calls, code, schemas, and agent state before production execution.. See the comparison table for live GitHub stats and shared categories. ### When should I choose future-agi over qwed-verification? Choose future-agi over qwed-verification when Pricing: The core platform is free and open-source under the Apache License 2.0. However, for managed services or additional support, contact sales for pricing.; Requirements: Min 4 GB RAM; Requires Docker; Future-AGI requires Docker for deployment, with support for Docker Compose and upcoming Kubernetes and Helm support.; For production environments, a setup script is provided to generate secrets and pin image tags, ensuring a secure and reproducible deployment.; Tags unique to future-agi: ai-agents, ai-evals, ai-gateway, ai-optimization; Also covers AI Agents; You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic. ### When should I choose qwed-verification over future-agi? Choose qwed-verification over future-agi when Requirements: Requires Docker; Requires Docker for deployment.; Installation in development mode involves cloning the repository and using pip to install in editable mode.; Tags unique to qwed-verification: ai-accuracy, ai-safety, ai-security, code-security; When you need deterministic verification of AI outputs and tool calls to ensure reliability and safety before deploying to production. ### When should I avoid future-agi? You require immediate Kubernetes or Helm support, as these are not yet available, though they are in development. You are seeking a managed service or a solution available through AWS Marketplace, as these options are not yet available, though they are planned for the future. Your project is in a highly dynamic environment where frequent updates and vendor support are critical, as Future-AGI is a community-driven project with a focus on self-hosting and open-source. ### When should I avoid qwed-verification? If your project does not require deterministic verification and can tolerate some level of uncertainty in AI outputs. When you are working on a small-scale project where the overhead of formal verification and fail-closed mechanisms is not justified. If your project is not compatible with Python or the specific libraries used by qwed-verification, such as sympy and z3-prover. ### Is future-agi or qwed-verification more popular on GitHub? future-agi has more GitHub stars (2,032 vs 58). Stars measure visibility, not whether either tool fits your constraints. ### Are future-agi and qwed-verification open source? Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, qwed-verification: Apache-2.0). ### Where can I find alternatives to future-agi or qwed-verification? GraphCanon lists graph-backed alternatives at [future-agi alternatives](/tools/future-agi-future-agi/alternatives) and [qwed-verification alternatives](/tools/qwed-ai-qwed-verification/alternatives) ([future-agi markdown twin](/tools/future-agi-future-agi/alternatives.md), [qwed-verification markdown twin](/tools/qwed-ai-qwed-verification/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/future-agi-future-agi-vs-qwed-ai-qwed-verification.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, future-agi or qwed-verification? future-agi: Very active. qwed-verification: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for future-agi and qwed-verification? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [future-agi trust report](/tools/future-agi-future-agi/trust); [qwed-verification trust report](/tools/qwed-ai-qwed-verification/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=future-agi-future-agi`](/api/graphcanon/graph?tool=future-agi-future-agi) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_